Search Results - "learning"

  1. Deep Variational Multivariate Information Bottleneck - A Framework for Variational Losses

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  2. Diffeomorphism-based feature learning using Poincaré inequalities on augmented input space

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  3. Finite Expression Method for Solving High-Dimensional Partial Differential Equations

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  4. Randomly Projected Convex Clustering Model: Motivation, Realization, and Cluster Recovery Guarantees

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  5. Minimax Optimal Deep Neural Network Classifiers Under Smooth Decision Boundary

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  6. Optimal and Efficient Algorithms for Decentralized Online Convex Optimization

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  7. Characterizing Dynamical Stability of Stochastic Gradient Descent in Overparameterized Learning

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  8. PREMAP: A Unifying PREiMage APproximation Framework for Neural Networks

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  9. Score-Aware Policy-Gradient and Performance Guarantees using Local Lyapunov Stability

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  10. On the O(sqrt(d)/T^(1/4)) Convergence Rate of RMSProp and Its Momentum Extension Measured by l_1 Norm

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  11. Categorical Semantics of Compositional Reinforcement Learning

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  12. Transformers from Diffusion: A Unified Framework for Neural Message Passing

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  13. Optimal Sample Selection Through Uncertainty Estimation and Its Application in Deep Learning

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  14. Actor-Critic learning for mean-field control in continuous time

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  15. Modelling Populations of Interaction Networks via Distance Metrics

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  16. BitNet: 1-bit Pre-training for Large Language Models

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  17. Physics-informed Kernel Learning

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  18. Last-iterate Convergence of Shuffling Momentum Gradient Method under the Kurdyka-Lojasiewicz Inequality

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  19. Posterior and Variational Inference for Deep Neural Networks with Heavy-Tailed Weights

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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  20. Maximum Causal Entropy IRL in Mean-Field Games and GNEP Framework for Forward RL

    Published in JMLR (2026)
    Subjects: “…Artificial Intelligence & Machine Learning…”
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